Title :
Classification and recognition of detecting parameters for cement rotary kiln
Author :
Zhugang, Yuan ; Yongliang, Li ; Hongliang, Yu
Author_Institution :
Inst. of Autom., Univ. of Jinan, Jinan
Abstract :
In view of the complex hot-working process of cement rotary kiln, all relative factors to process are measured and classified as faulty condition and normal condition. Alarming faulty condition. the running patterns of system are built with an improved ART-2 cluster parsing algorithm under normal condition, carry on the correct recognition to the status of cement rotary kiln.
Keywords :
adaptive resonance theory; cement industry; fault diagnosis; kilns; process control; ART-2 cluster parsing algorithm; cement rotary kiln; complex hot-working process; faulty condition; Automation; Classification algorithms; Clustering algorithms; Electronic mail; Fault diagnosis; Kilns; Pattern recognition; Q measurement; Subspace constraints; Tin; ART-2; Cement Rotary Kiln; Fault Recognition; Kiln Condition Recognition;
Conference_Titel :
Control Conference, 2008. CCC 2008. 27th Chinese
Conference_Location :
Kunming
Print_ISBN :
978-7-900719-70-6
Electronic_ISBN :
978-7-900719-70-6
DOI :
10.1109/CHICC.2008.4604965
